Triple
T15120646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murum Dam |
E361160
|
entity |
| Predicate | associatedEthnicGroupsAffected |
P10927
|
FINISHED |
| Object | Kenyah |
E159028
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kenyah | Statement: [Murum Dam, associatedEthnicGroupsAffected, Kenyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenyah Context triple: [Murum Dam, associatedEthnicGroupsAffected, Kenyah]
-
A.
Kenyah
chosen
The Kenyah are an indigenous Dayak ethnic group of Borneo, traditionally living in the interior highlands and river valleys of Sarawak and neighboring regions, known for their longhouse communities and rich oral traditions.
-
B.
Kemtau
Kemtau is a village and former municipality in Saxony, Germany, now administratively part of the town of Burkhardtsdorf.
-
C.
Kentau
Kentau is a town in southern Kazakhstan known historically as a mining and industrial center.
-
D.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
E.
Kainan
Kainan is a coastal city in central Wakayama Prefecture, Japan, known for its traditional industries and scenic seaside setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059e036c8190959ff3bde8f2356f |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f2e3408190ae095d16396e420d |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.